author-jonsonBen-freebo

Introduction

This is a Distant Reader "study carrel", a set of structured data intended to help the student, researcher, or scholar use & understand a corpus.

This study carrel was created on 2021-05-24 by Eric Morgan <emorgan@nd.edu>. The carrel was created using the Distant Reader zip2carrel process, and the input was a Zip file locally cached with the name input-file.zip. Documents in the Zip file have been saved in a cache, and each of them have been transformed & saved as a set of plain text files. All of the analysis -- "reading" -- has been done against these plain text files. For example, a short narrative report has been created. This Web page is a more verbose version of that report.

All study carrels are self-contained -- no Internet connection is necessary to use them. Download this carrel for offline reading. The carrel is made up of many subdirectories and data files. The manifest describes each one in greater detail.

Size

There are 25 item(s) in this carrel, and this carrel is 3,163,866 words long. Each item in your study carrel is, on average, 126,554 words long. If you dig deeper, then you might want to save yourself some time by reading a shorter item. On the other hand, if your desire is for more detail, then you might consider reading a longer item. The following charts illustrate the overall size of the carrel.

Readability

On a scale from 0 to 100, where 0 is very difficult and 100 is very easy, the documents have an average readability score of 100. Consequently, if you want to read something more simplistic, then consider a document with a higher score. If you want something more specialized, then consider something with a lower score. The following charts illustrate the overall readability of the carrel.

Word Frequencies

By merely counting & tabulating the frequency of individual words or phrases, you can begin to get an understanding of the carrel's "aboutness". Excluding "stop words", some of the more frequent words include:

xml, id, lemma, pos, pc, reg, acp, sentence, unit, sp, speaker, rendition, hi, av, vvb, vvi, pns, type, cc, cs, po, ab, pn, contract, vvz, sir, will, nn, seg, pno, vvn, join, vmb, crq, left, vvd, now, shall, note, uh, good, haue, la, come, label, fw, sic, corr, make, man

Using the three most frequent words, the three files containing all of those words the most are Every Man Out of His Humour, The Devil Is an Ass, and Epicoene, or The Silent Woman.

The most frequent two-word phrases (bigrams) include:

pc xml, pos acp, unit sentence, rendition hi, pos av, pos vvb, vvb xml, pos vvi, vvi xml, pos pns, pns xml, av xml, cs xml, cc xml, sp xml, pos po, ab xml, po xml, pos cc, sp sp, pos pn, sentence speaker, type contract, pn xml, pos vvz, nn xml, pos pno, vvz xml, pos vvn, vvn xml, pno xml, pos vmb, pos crq, contract lemma, join left, pos vvd, vvd xml, pos cs, vmb xml, hi reg, will pos, lemma will, pos uh, contract reg, pos fw, uh xml, lemma sir, sir pos, pos xx, xx xml

And the three file that use all of the three most frequent phrases are Every Man Out of His Humour The Devil Is an Ass, and Epicoene, or The Silent Woman.

While often deemed superficial or sophomoric, rudimentary frequencies and their associated "word clouds" can be quite insightful:

Keywords

Sets of keywords -- statistically significant words -- can be enumerated by comparing the relative frequency of words with the number of times the words appear in an entire corpus. Some of the most statistically significant keywords in the carrel include:

xml, pos="n1-nn, pos="n1, pos="d, pos="cc, pos="acp, lemma="the, lemma="and, unit="sentence">.

And now word clouds really begin to shine:

Topic Modeling

Topic modeling is another popular approach to connoting the aboutness of a corpus. If the study carrel could be summed up in a single word, then that word might be xml, and The Bloody Brother (Rollo, Duke of Normandy) is most about that word.

If the study carrel could be summed up in three words ("topics") then those words and their significantly associated titles include:

1. xml - Every Man Out of His Humour
2. sir - Bartholmew fayre : a comedie, acted in the yeare, 1614 by the Lady Elizabeths seruants, and then dedicated to King Iames, of most blessed memorie ; The diuell is an asse : a comedie acted in the yeare, 1616, by His Maiesties seruants ; The staple of newes : a comedie acted in the yeare, 1625, by His Maiesties seruants by the author, Beniamin Iohnson.
3. sir - The alchemist. VVritten by Ben. Ionson

If the study carrel could be summed up in five topics, and each topic were each denoted with three words, then those topics and their most significantly associated files would be:

1. id, xml, lemma - Epicoene, or The Silent Woman
2. xml, id, lemma - Every Man Out of His Humour
3. a46228, xml, id - The Devil Is an Ass
4. sir, haue, thy - Bartholmew fayre : a comedie, acted in the yeare, 1614 by the Lady Elizabeths seruants, and then dedicated to King Iames, of most blessed memorie ; The diuell is an asse : a comedie acted in the yeare, 1616, by His Maiesties seruants ; The staple of newes : a comedie acted in the yeare, 1625, by His Maiesties seruants by the author, Beniamin Iohnson.
5. sir, haue, fac - The alchemist. VVritten by Ben. Ionson

Moreover, the totality of the study carrel's aboutness, can be visualized with the following pie chart:

Noun & Verbs

Through an analysis of your study carrel's parts-of-speech, you are able to answer question beyonds aboutness. For example, a list of the most frequent nouns helps you answer what questions; "What is discussed in this collection?":

xml, pc, p, l, pos="n1, id="a04645, >, pos="vvi, pos="n2, cs, id="a04648, id="a18407, pos="n1-nn, id="a46230, w, q, pos="po, unit="sentence, av, r, cc, rendition="#hi">.i''tvpon

An enumeration of the verbs helps you learn what actions take place in a text or what the things in the text do. Very frequently, the most common lemmatized verbs are "be", "have", and "do"; the more interesting verbs usually occur further down the list of frequencies:

id="a04658, is, lemma="i, be, lemma="your, are, note, pos="av_j, was, lemma="by, lemma="come, id="a46230, ''s, come, were, haue, do, had, see, make, am, let, lemma="more, know, lemma="well, lemma="love, lemma="take, lemma="think, did, lemma="be, take, say, doe, has, made, le, thinke, lemma="hear, have, lemma="tell, lemma="at, tell, pray, pos="acp, lemma="speak, lemma="thing, lemma="bring, lemma="first, done, lemma="friend

Proper Nouns

An extraction of proper nouns helps you determine the names of people and places in your study carrel.

w, id="a04648, pos="acp, id="a46228, id="a18407, id="a04638, pos="d, id="a00959, id="a04654, pos="j, pos="vvb, id="a04658, xml, pos="pns, sp, pos="n, pos="cc, unit="sentence"/, speaker, lemma="be, pos="pn, lemma="the, lemma="and, pos="po, pos="vvz, pos="av, pos="pno, lemma="a, id="a04643, lemma="i, lemma="you, pos="vvn, id="a04645, pos="vmb, /p, lemma="of, pos="crq, id="a46230, id="a04652, type="contract2, lemma="he, lemma="it, lemma="in, rendition="#hi, lemma="have, rendition="#hi">,

An analysis of personal pronouns enables you to answer at least two questions: 1) "What, if any, is the overall gender of my study carrel?", and 2) "To what degree are the texts in my study carrel self-centered versus inclusive?"

i, you, it, my, your, he, his, him, me, her, they, their, we, our, thy, she, them, thee, ''s, us, mine, w, yours, ''em, lemma="himself, vp, lemma="thyself, ours, themselves, lemma="throw, lemma="back, himself, lemma="breast, lemma="gull, one, its, hem, ha, vvith, iu, theirs, vvhat, hers, ts, vnto, nay, lemma="matron, your